{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "Missing parentheses in call to 'print'. Did you mean print(upper,middle,lower)? (<ipython-input-1-cc1033bdbffc>, line 8)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-1-cc1033bdbffc>\"\u001b[1;36m, line \u001b[1;32m8\u001b[0m\n\u001b[1;33m    print upper,middle,lower\u001b[0m\n\u001b[1;37m              ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m Missing parentheses in call to 'print'. Did you mean print(upper,middle,lower)?\n"
     ]
    }
   ],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tushare as ts\n",
    "import talib\n",
    "import os\n",
    "import time\n",
    "\n",
    "import requests\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "# import quandl as quandl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "本接口即将停止更新，请尽快使用Pro版接口：https://tushare.pro/document/2\n",
      "[        nan         nan         nan         nan 23.18731066 25.50228051\n",
      " 28.05388513 28.99676061 28.12360059 27.46134002 27.41829175 26.66343027\n",
      " 26.81442542 28.1068227  29.74686571 30.37419419 29.31456578 29.39861482\n",
      " 29.6604261  30.33745461 30.5019166  30.09308603 30.57637931 30.41186723\n",
      " 29.47761163 29.33510026 29.87311906 30.49013818 31.232023   30.74193041\n",
      " 30.91219711 30.9500248  31.80484458 32.92236155 34.59723368 34.70789786\n",
      " 34.30253978 34.45260485 34.46573274 33.57578796 33.90893685 33.97089117\n",
      " 33.62680273 33.96494216 34.4914556  34.36352979 34.21646754 34.53650472\n",
      " 34.56826543 35.36491936 35.98239112 35.45059457 33.28297773 30.80316987\n",
      " 30.13643637 31.35879188 31.12037553 30.30861828 28.66784817 26.94685259\n",
      " 27.68454202 27.20531412 26.83831304 26.19355785 25.52256178 25.48377797\n",
      " 25.4236356  25.46158589 26.10319115 26.52517344 26.60651202 26.70645763\n",
      " 26.41563971 26.70116111 27.21830836 26.95021439 26.30993036 25.41831481\n",
      " 24.80824883 24.80906903 24.87080719 25.09028839 25.11949004 25.11517957\n",
      " 25.59354481 26.24858209 25.71876078 24.89099819 23.36149432] [    nan     nan     nan     nan 18.2728 20.0992 22.109  23.8016 24.6114\n",
      " 25.1216 25.2752 24.8318 24.8632 25.5548 26.4258 27.151  27.7992 28.2012\n",
      " 28.5518 28.7704 28.924  29.1132 28.8354 28.5892 28.1636 28.1302 28.3074\n",
      " 28.8256 29.3536 29.6886 29.9446 30.1436 30.4666 30.837  31.771  32.2202\n",
      " 32.5158 32.8744 32.9374 32.6044 32.7562 32.7286 32.5416 32.6718 32.9436\n",
      " 32.8708 33.2392 33.6312 33.566  32.9494 32.2084 31.3554 30.4274 29.7458\n",
      " 29.3142 28.6778 28.203  27.4858 26.808  26.276  25.8978 25.3756 25.1786\n",
      " 24.9442 24.7314 24.761  24.8714 24.8832 25.0526 25.2774 25.6182 25.9294\n",
      " 26.0772 25.9314 25.549  25.277  24.7648 24.422  24.225  24.2368 24.2506\n",
      " 24.4594 24.5244 24.5894 24.418  23.7698 23.1806 22.6782 22.2132] [        nan         nan         nan         nan 13.35828934 14.69611949\n",
      " 16.16411487 18.60643939 21.09919941 22.78185998 23.13210825 23.00016973\n",
      " 22.91197458 23.0027773  23.10473429 23.92780581 26.28383422 27.00378518\n",
      " 27.4431739  27.20334539 27.3460834  28.13331397 27.09442069 26.76653277\n",
      " 26.84958837 26.92529974 26.74168094 27.16106182 27.475177   28.63526959\n",
      " 28.97700289 29.3371752  29.12835542 28.75163845 28.94476632 29.73250214\n",
      " 30.72906022 31.29619515 31.40906726 31.63301204 31.60346315 31.48630883\n",
      " 31.45639727 31.37865784 31.3957444  31.37807021 32.26193246 32.72589528\n",
      " 32.56373457 30.53388064 28.43440888 27.26020543 27.57182227 28.68843013\n",
      " 28.49196363 25.99680812 25.28562447 24.66298172 24.94815183 25.60514741\n",
      " 24.11105798 23.54588588 23.51888696 23.69484215 23.94023822 24.03822203\n",
      " 24.3191644  24.30481411 24.00200885 24.02962656 24.62988798 25.15234237\n",
      " 25.73876029 25.16163889 23.87969164 23.60378561 23.21966964 23.42568519\n",
      " 23.64175117 23.66453097 23.63039281 23.82851161 23.92930996 24.06362043\n",
      " 23.24245519 21.29101791 20.64243922 20.46540181 21.06490568]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df=ts.get_k_data('300580',start='2017-01-12',end='2017-05-26')\n",
    "#?????\n",
    "closed=df['close'].values\n",
    "\n",
    "upper,middle,lower=talib.BBANDS(closed,matype=talib.MA_Type.SMA)\n",
    "print(upper,middle,lower)\n",
    "plt.plot(upper)\n",
    "plt.plot(middle)\n",
    "plt.plot(lower)\n",
    "plt.grid()\n",
    "plt.show()\n",
    "diff1=upper-middle\n",
    "diff2=middle-lower"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
